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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Analysis of HOG Suitability for Facial Traits Description in FER Problems
verfasst von : Marco Del Coco, Pierluigi Carcagnì, Giuseppe Palestra, Marco Leo, Cosimo Distante
Erschienen in: Image Analysis and Processing — ICIAP 2015
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Automatic Facial Expression Recognition is a topic of high interest especially due to the growing diffusion of assistive computing applications, as Human Robot Interaction, where a robust awareness of the people emotion is a key point. This paper proposes a novel automatic pipeline for facial expression recognition based on the analysis of the gradients distribution, on a single image, in order to characterize the face deformation in different expressions. Firstly, an accurate investigation of optimal HOG parameters has been done. Successively, a wide experimental session has been performed demonstrating the higher detection rate with respect to other State-of-the-Art methods. Moreover, an on-line testing session has been added in order to prove the robustness of our approach in real environments.